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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1984 1
1986 1
1987 3
1988 2
1989 3
1990 8
1991 1
1992 3
1993 3
1994 8
1995 7
1996 11
1997 9
1998 3
1999 19
2000 12
2001 10
2002 25
2003 32
2004 43
2005 51
2006 84
2007 86
2008 106
2009 146
2010 165
2011 173
2012 231
2013 253
2014 287
2015 314
2016 300
2017 304
2018 377
2019 421
2020 434
2021 491
2022 544
2023 589
2024 484

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5,417 results

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Page 1
Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.
Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ 3rd, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Nørgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Battelino T, et al. Among authors: jia w. Diabetes Care. 2019 Aug;42(8):1593-1603. doi: 10.2337/dci19-0028. Epub 2019 Jun 8. Diabetes Care. 2019. PMID: 31177185 Free PMC article. Review.
International Consensus on Use of Continuous Glucose Monitoring.
Danne T, Nimri R, Battelino T, Bergenstal RM, Close KL, DeVries JH, Garg S, Heinemann L, Hirsch I, Amiel SA, Beck R, Bosi E, Buckingham B, Cobelli C, Dassau E, Doyle FJ 3rd, Heller S, Hovorka R, Jia W, Jones T, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Maahs D, Murphy HR, Nørgaard K, Parkin CG, Renard E, Saboo B, Scharf M, Tamborlane WV, Weinzimer SA, Phillip M. Danne T, et al. Among authors: jia w. Diabetes Care. 2017 Dec;40(12):1631-1640. doi: 10.2337/dc17-1600. Diabetes Care. 2017. PMID: 29162583 Free PMC article. Review.
Theabrownin from Pu-erh tea attenuates hypercholesterolemia via modulation of gut microbiota and bile acid metabolism.
Huang F, Zheng X, Ma X, Jiang R, Zhou W, Zhou S, Zhang Y, Lei S, Wang S, Kuang J, Han X, Wei M, You Y, Li M, Li Y, Liang D, Liu J, Chen T, Yan C, Wei R, Rajani C, Shen C, Xie G, Bian Z, Li H, Zhao A, Jia W. Huang F, et al. Among authors: jia w. Nat Commun. 2019 Oct 31;10(1):4971. doi: 10.1038/s41467-019-12896-x. Nat Commun. 2019. PMID: 31672964 Free PMC article.
Gut bacteria-driven homovanillic acid alleviates depression by modulating synaptic integrity.
Zhao M, Ren Z, Zhao A, Tang Y, Kuang J, Li M, Chen T, Wang S, Wang J, Zhang H, Wang J, Zhang T, Zeng J, Liu X, Xie G, Liu P, Sun N, Bao T, Nie T, Lin J, Liu P, Zheng Y, Zheng X, Liu T, Jia W. Zhao M, et al. Among authors: jia w. Cell Metab. 2024 May 7;36(5):1000-1012.e6. doi: 10.1016/j.cmet.2024.03.010. Epub 2024 Apr 5. Cell Metab. 2024. PMID: 38582087 Free article.
Resistant starch intake facilitates weight loss in humans by reshaping the gut microbiota.
Li H, Zhang L, Li J, Wu Q, Qian L, He J, Ni Y, Kovatcheva-Datchary P, Yuan R, Liu S, Shen L, Zhang M, Sheng B, Li P, Kang K, Wu L, Fang Q, Long X, Wang X, Li Y, Ye Y, Ye J, Bao Y, Zhao Y, Xu G, Liu X, Panagiotou G, Xu A, Jia W. Li H, et al. Among authors: jia w. Nat Metab. 2024 Mar;6(3):578-597. doi: 10.1038/s42255-024-00988-y. Epub 2024 Feb 26. Nat Metab. 2024. PMID: 38409604 Free PMC article. Clinical Trial.
A Clostridia-rich microbiota enhances bile acid excretion in diarrhea-predominant irritable bowel syndrome.
Zhao L, Yang W, Chen Y, Huang F, Lu L, Lin C, Huang T, Ning Z, Zhai L, Zhong LL, Lam W, Yang Z, Zhang X, Cheng C, Han L, Qiu Q, Shang X, Huang R, Xiao H, Ren Z, Chen D, Sun S, El-Nezami H, Cai Z, Lu A, Fang X, Jia W, Bian Z. Zhao L, et al. Among authors: jia w. J Clin Invest. 2020 Jan 2;130(1):438-450. doi: 10.1172/JCI130976. J Clin Invest. 2020. PMID: 31815740 Free PMC article. Clinical Trial.
A dysregulated bile acid-gut microbiota axis contributes to obesity susceptibility.
Wei M, Huang F, Zhao L, Zhang Y, Yang W, Wang S, Li M, Han X, Ge K, Qu C, Rajani C, Xie G, Zheng X, Zhao A, Bian Z, Jia W. Wei M, et al. Among authors: jia w. EBioMedicine. 2020 May;55:102766. doi: 10.1016/j.ebiom.2020.102766. Epub 2020 May 11. EBioMedicine. 2020. PMID: 32408110 Free PMC article.
A deep learning system for predicting time to progression of diabetic retinopathy.
Dai L, Sheng B, Chen T, Wu Q, Liu R, Cai C, Wu L, Yang D, Hamzah H, Liu Y, Wang X, Guan Z, Yu S, Li T, Tang Z, Ran A, Che H, Chen H, Zheng Y, Shu J, Huang S, Wu C, Lin S, Liu D, Li J, Wang Z, Meng Z, Shen J, Hou X, Deng C, Ruan L, Lu F, Chee M, Quek TC, Srinivasan R, Raman R, Sun X, Wang YX, Wu J, Jin H, Dai R, Shen D, Yang X, Guo M, Zhang C, Cheung CY, Tan GSW, Tham YC, Cheng CY, Li H, Wong TY, Jia W. Dai L, et al. Among authors: jia w. Nat Med. 2024 Feb;30(2):584-594. doi: 10.1038/s41591-023-02702-z. Epub 2024 Jan 4. Nat Med. 2024. PMID: 38177850 Free PMC article.
5,417 results